App ready

Imported model trained on Kaggle GPU
Set up app using Gradio

FilmStarsApp.ipynb

@@ -0,0 +1,218 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "77fbe5ae",
+   "metadata": {},
+   "source": [
+    "# Film Stars Gradio App"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "37d47b60",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|default_exp app"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "96a084dc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "from fastai.vision.all import *\n",
+    "import gradio as gr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0dd4db80",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pic = 'Penelope Cruz.jpg'\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "cf73c204",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "learn50 = load_learner('filmstars50.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "18bfac9a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "def classify_image(pic):\n",
+    "    pred,pred_idx,probs = learn50.predict(PILImage.create(pic))\n",
+    "    ps, idxs = probs.topk(3)\n",
+    "    return dict(zip([learn50.dls.vocab[idx] for idx in idxs], map(float,ps)))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d49e1a0e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'Penelope Cruz': 0.5769789218902588,\n",
+       " 'Halle Berry': 0.12028565257787704,\n",
+       " 'Angelina Jolie': 0.08253376185894012}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "classify_image(pic)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "773dab23",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7860\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/html": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#|export\n",
+    "image = gr.components.Image()\n",
+    "label = gr.components.Label()\n",
+    "examples = ['Angelina Jolie.jpg','Penelope Cruz.jpg','Jack Nicholson.jpg']\n",
+    "\n",
+    "intfr = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
+    "intfr.launch(inline=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "705f241c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from nbdev.export import nb_export\n",
+    "nb_export('FilmStarsApp.ipynb')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cbaa52cc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python (base)",
+   "language": "python",
+   "name": "base"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.8"
+  },
+  "toc": {
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

app.py

@@ -1,7 +1,26 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../FilmStarsApp.ipynb.
+
+# %% auto 0
+__all__ = ['learn50', 'image', 'label', 'examples', 'intfr', 'classify_image']
+
+# %% ../FilmStarsApp.ipynb 2
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% ../FilmStarsApp.ipynb 4
+learn50 = load_learner('filmstars50.pkl')
+
+# %% ../FilmStarsApp.ipynb 5
+def classify_image(pic):
+    pred,pred_idx,probs = learn50.predict(PILImage.create(pic))
+    ps, idxs = probs.topk(3)
+    return dict(zip([learn50.dls.vocab[idx] for idx in idxs], map(float,ps)))
+
+
+# %% ../FilmStarsApp.ipynb 7
+image = gr.components.Image()
+label = gr.components.Label()
+examples = ['Angelina Jolie.jpg','Penelope Cruz.jpg','Jack Nicholson.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intfr = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intfr.launch(inline=False)

filmstars50.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67b9b502101a5daa664736bee814aa3773fbb6f60e53f3f24e3e1ce29dde8554
+size 103651871